opendatalab/WebMainBench
WebMainBench 简体中文 | English 🤗 HuggingFace Dataset | 🔍 Github WebMainBench is a high-precision benchmark for evaluating web main content extraction. It provides: A 7,809-page, 100% human-annotated evaluation dataset covering 5,434 unique domains, 150 TLDs, and 46 languages. A 545-sample subset with manually calibrated ground-truth markdown (groundtruth_content), enabling fine-grained metric evaluation across text, code, formula, and table dimensions. A unified evaluation toolkit… See the full description on the dataset page: https://huggingface.co/datasets/opendatalab/WebMainBench.
| Author / organization | opendatalab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2.1K (as reported by Hugging Face) |
| Likes | 7 |
| Created | 27 March 2026 |
| Last updated at source | 8 April 2026 |
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